NFYK13011U Applied Statistics: From
Data to Results

The course will give the student an introduction to and a basic
knowledge on statistics. The focus will be on application and thus
proofs are omitted, while examples and use of computers take their
place.

Knowledge
The student will obtain knowledge about statistical concepts and
procedures, more specifically:

Binomial, Poisson and Gaussian distributions and
origins.

Error propagation formula and how to apply it.

ChiSquare as a measure of Goodness-of-fit.

Calculation and interpretation of ChiSquare
probability.

Competences
This course will provide the students with an understanding of
statistical methods and knowledge of data analysis, which enables
them to analyse data in ALL fields of science. The students should
be capable of handling uncertainties, fitting data, applying
hypothesis tests and extracting conclusions from data, and thus
produce statistically sound scientific work.

Programming is an
essential tool and is therefore necessary for the course (we will
use Python with interface to CERN’s ROOT software, both free and
working on all platforms). Elementary mathematics (integral
calculations and combinatorics) is also needed.

Projects and mandatory problem sets should be approved
before the exam.

Aid

All aids allowed

Marking scale

7-point grading scale

Censorship form

No external censorship

More internal examiners

Re-exam

The exam form is identical to the regular exam; projects and
problem sets that were approved during the course can be re-used.
The remaining projects and problem sets should be approved 2 weeks
before the re-exam.